The combined model incorporating TMAO, CRP, UACR, and age achieved the highest overall diagnostic performance (AUC 0.864, 95% CI: 0.775–0.953; p < 0.001), indicating that integrating multiple biomarkers improves the prediction of PAD beyond the performance of any single variable. The gene discussed is CRP; the disease is peripheral arterial disease.